Migration And Mutation
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Genetics and Evolution of Infectious Diseases
Genetics and Evolution of Infectious Diseases, Second Edition, discusses the constantly evolving field of infectious diseases and their continued impact on the health of populations, especially in resource-limited areas of the world. Students in public health, biomedical professionals, clinicians, public health practitioners, and decisions-makers will find valuable information in this book that is relevant to the control and prevention of neglected and emerging worldwide diseases that are a major cause of global morbidity, disability, and mortality. Although substantial gains have been made in public health interventions for the treatment, prevention, and control of infectious diseases during the last century, in recent decades the world has witnessed a worldwide human immunodeficiency virus (HIV) pandemic, increasing antimicrobial resistance, and the emergence of many new bacterial, fungal, parasitic, and viral pathogens. The economic, social, and political burden of infectious diseases is most evident in developing countries which must confront the dual burden of death and disability due to infectious and chronic illnesses. - Takes an integrated approach to infectious diseases - Includes contributions from leading authorities - Provides the latest developments in the field of infectious disease
Evolutionary Computation with Biogeography-based Optimization
Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeography-based optimization (BBO) is an optimization algorithm that is based on the science of biogeography, which researches the migration patterns of species. These migration paradigms provide the main logic behind BBO. Due to the cross-disciplinary nature of the optimization problems, there is a need to develop multiple approaches to tackle them and to study the theoretical reasoning behind their performance. This book explains the mathematical model of BBO algorithm and its variants created to cope with continuous domain problems (with and without constraints) and combinatorial problems.
Quantitative Genetics and Breeding Methods in Autopolyploid Plants
This book presents basic information about population genetics, quantitative genetics, breeding methods and creation of new varieties taking into account the particular characteristics of autopolyploidy. A number of results are given as a function of ploidy level, the case of diploidy being considered as a specific case. QTL detection and marker assisted selection are also addressed. This book is intended for researchers working on autopolyploid species, as well as for lecturers and students who want to gain better knowledge of these issues by considering the ploidy level. It will also be valuable to breeders wishing to choose methods for breeding and creating the most adapted varieties.